This paper presents a theoretical and experimental study dealing with the dynamical reconstruction of longitudinal road profiles. The non-linear time series analysis method is used; it is based on the concept of deterministic chaos to detect anomalies. For this purpose, attractors, recurrence plots and recurrence quantification analysis are performed to detect anomalies on road pavements. In particular, modification of attractor and presence of vertical and horizontal lines in recurrence plots allow us to detect the above-mentioned local irregularities. Therefore, on the basis of the available database, it is possible to detect local irregularities to design and perform pavement rehabilitation and/or maintenance.

Dynamical Reconstruction of Road longitudinal Profiles: a theoretical and experimental study

PRATICO', Filippo Giammaria;MORABITO, Francesco Carlo;VERSACI, Mario
2012-01-01

Abstract

This paper presents a theoretical and experimental study dealing with the dynamical reconstruction of longitudinal road profiles. The non-linear time series analysis method is used; it is based on the concept of deterministic chaos to detect anomalies. For this purpose, attractors, recurrence plots and recurrence quantification analysis are performed to detect anomalies on road pavements. In particular, modification of attractor and presence of vertical and horizontal lines in recurrence plots allow us to detect the above-mentioned local irregularities. Therefore, on the basis of the available database, it is possible to detect local irregularities to design and perform pavement rehabilitation and/or maintenance.
2012
road; roughness; pavement; non-linear analysis; chaos theory; recurrence plot
non-linear analysis; chaos theory; recurrence quantification analysis; Road profiles; Mutual Information
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/2639
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